Author

Karl Schmeckpeper

Observed name: Schmeckpeper, Karl

Institutions: Robotics and AI Institute, Massachusetts Institute of Technology

Observed institutions: Boston Dynamics (United States), Robotics and AI Institute, Massachusetts Institute of Technology, Carnegie Mellon University, University of Pennsylvania, University of California, Berkeley, Stanford University

ORCID: 0000-0003-4989-2022

Observed ORCID: 0000-0003-4989-2022

OpenAlex ID: A5049609650

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets

2022 · Frederik Ebert, Yanlai Yang, et al. · Robotics: Science and Systems · 298

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RoboNet: Large-Scale Multi-Robot Learning

2019 · Dasari, Sudeep, Ebert, Frederik, et al. · Digital Eprints Services at ISB (DESI) (Indian School of Business) · 277

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Cross-modal Map Learning for Vision and Language Navigation

2022 · Georgios Georgakis, Karl Schmeckpeper, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 95

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Learning to Map for Active Semantic Goal Navigation

2021 · Georgakis, Georgios, Bucher, Bernadette, et al. · arXiv (Cornell University) · 85

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Reinforcement Learning with Videos: Combining Offline Observations with Interaction

2020 · Schmeckpeper, Karl, Rybkin, Oleh, et al. · arXiv (Cornell University) · 62

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Uncertainty-driven Planner for Exploration and Navigation

2022 · Georgios Georgakis, Bernadette Bucher, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 61

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Autonomous Precision Pouring From Unknown Containers

2019 · Monroe Kennedy, Karl Schmeckpeper, et al. · IEEE Robotics and Automation Letters · 47

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

2024 · Shang, Jinghuan, Schmeckpeper, Karl, et al. · arXiv (Cornell University) · 45

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Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin

2026 · Jad Abou-Chakra, Lingfeng Sun, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 32

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Deformable Linear Object Prediction Using Locally Linear Latent Dynamics

2021 · Wenbo Zhang, Karl Schmeckpeper, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 32

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Learning Predictive Models from Observation and Interaction

2020 · Karl Schmeckpeper, Annie Xie, et al. · Lecture notes in computer science · 31

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Reactive navigation in partially familiar planar environments using semantic perceptual feedback

2021 · Vasileios Vasilopoulos, Georgios Pavlakos, et al. · The International Journal of Robotics Research · 28

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EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision

2023 · Jiahui Lei, Congyue Deng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 17

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Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies

2024 · Huang, Haojie, Schmeckpeper, Karl, et al. · arXiv (Cornell University) · 15

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Intrinsic maturation of sleep output neurons regulates sleep ontogeny in Drosophila

2022 · Naihua N. Gong, Hang Ngoc Bao Luong, et al. · Current Biology · 15

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An Intelligence Architecture for Grounded Language Communication with Field Robots

2022 · Thomas M. Howard, Ethan Stump, et al. · Field Robotics · 15

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Semantic Keypoint-Based Pose Estimation from Single RGB Frames

2022 · Karl Schmeckpeper, Philip R. Osteen, et al. · Field Robotics · 11